It’s been a while since I’ve blogged about our Ĝ project, and since we have a press release coming out soon, it seems like a good time to start again.

University of Toledo professor Michael Cushing, classifier of Y dwarfs. Coincidentally, we were undergraduates together at Boston University, where we both did research with Dan Clemens.

We have our first results coming out in a paper published in ApJS soon; until then here’s the background. This paper is the result of a lot of hard work by our post-baccalaureate Roger Griffith.Roger comes to us from the WISE team that discovered the first spectrally-classified Y dwarfs; in fact it was a talk by Michael Cushing on that team at Penn State that first gave me the idea to use WISE to do this (since Y dwarfs are at about room temperature!).

Roger came with ready knowledge about how to interrogate not just the WISE All-sky catalog, but also the lower level data that we used to reject artifacts and comets and other false positives.He also had code all set up to make “at-a-glance” charts of all of our most interesting sources, and in the end he personally inspected something like 100,000 images!The paper is long, a testament to his hard work.

We decided to start with the red extended sources in WISE that appear outside the Galactic Plane. Our rationale was that there are lots of reasons an object might appear “red” (i.e., to have a lot of 12 or 22 micron emission). If all you have to go on is a point of light in the sky and broad-band photometry, there’s not much one can do to diagnose the origins. But if the source is resolved, then you have some information, and the number of false positives goes way down.

We discovered that when you go looking for extreme objects, all of the rare special cases in the data reduction come flooding into your lists.The WISE team did a great job of removing artifacts, solar system objects, and other things we weren’t interested in from the list, but when you have 100,000,000 sources, there are always going to be a few that sneak through.We discovered lots of things that looked a lot like what we were looking for at first glance, but turned out to be reflections from bright stars, latency in the infrared detector array, nebulosity in the Milky Way, and similar artifacts.Roger had his work cut out for him sorting through all of this stuff, and his work on that constitutes much of his paper.

Tom Jarrett, builder of atlases and photometrist of extended sources.

Another major complication is that the WISE photometry pipeline was not designed to do great photometry on extended sources. It’s an automated routine, and extended objects tend to need human intervention to get the details right. We found that there were systematics in the All-sky photometry for most extended sources. Fortunately, Tom Jarrett has been working on a WISE atlas of extended sources with careful photometry. He graciously lent us a preliminary version of his catalog for the South Galactic Cap. We found a good coefficients to a nonlinear combination of All-sky photometry from different apertures, and this allowed us to calibrate the existing WISE photometry to these sources.

After we had made our list, we needed to know what these things were.Roger cross-matched to NED and SIMBAD, but we still needed someone to hunt down each and every object in the literature and see what it was.That’s where Jessica Maldonado came in.Jessica is an undergraduate at Cal Poly Pomona working with Matthew Povich, and she did the yeoman’s work of lots and lots and lots of literature searches for hundreds of our best candidates.

So why would we conduct a search for alien waste heat using resolved sources? Because a galaxy containing a Kardashev Type III civilization is pandemic with intelligent, spacefaring life.The total energy use of this supercivilization would, unless they were using most of it to send out lasers or create matter or something, have to come out at roughly mid-infrared wavelengths.The entire galaxy would have a bit too much 12 or 22 micron emission.If the civilization’s energy output were greater than a few % of the starlight in the galaxy, then this would be easily detectable with WISE as a diffuse MIR excess across the whole galaxy.We discuss all of this in our first two papers (here and here).

Of course, galaxies have lots of mid-infrared light for many other reasons, too, mostly having to do with dust.But a typical elliptical galaxy, for instance, has so little dust that even a few % excess would be obvious.We found that any civilization preprocessing more than about 10% of the starlight in the galaxy would be anomalously bright — even if the galaxy were a spiral.So we set out to find what the upper limit was.After all, no one has done this before, so it was in principle possible, though unlikely, that there was a galaxy with a civilization using most of its starlight right in our own backyard!

Also, we don’t know what energy sources an alien civilization might use.We tried to think hard about this in our first paper, but for all we know it’s possible to tap zero point energy or generate Romulan warp core singularities or who-knows-what, so in principle an alien civilization could have an energy supply that is 110%, 200% or 1,000% of the starlight in its galaxy.Has it ever happened?If it has, WISE would see it.

Figure from our second paper. SEDs are for an old elliptical, a typical spiral, and Arp 220, a starburst galaxy. The green and orange curves include the effects of 10% and 35% of the starlight being reprocessed as waste heat. WISE gets a good handle on the stellar photospheres in the two bluer bands, and the waste heat/dust in the redder bands.

We used the shorter, W1 and W2 (3-5 micron) bands to get a handle on the stellar photospheres in the galaxies we searched, and the W3 and W4 (8-26 micron) bands to measure the waste heat.We started by assuming that all of the heat was coming from alien civilizations (that is, that the galaxy had no dust) and calculated the fraction of starlight that would have to be reprocessed to explain it.We also allowed the waste heat temperature to float as a free parameter.We then sorted all of the WISE galaxies by this starlight-covering fraction. This gave us upper limits on the amount of alien waste heat that could be in each of our 100,000 galaxies.

We searched every galaxy we could in the survey. We didn’t want to miss anything obvious if it were out there. We didn’t know when we started how many galaxies WISE resolves; we determined at the end of the project that it is 100,000. Typical galaxy distances are hundreds of millions of light years; I don’t know how far the farthest one is. Light travel time is not relevant to the problem — none of the galaxies are so far away that the universe was significantly younger when the light we see left.

It would seem to me that a sample of 100000 would be a bit of an overkill. What kind of variance did you expect prior to the survey? I’m not a statistician so a simple response would be ok. What was distance on the furthest galaxies in the survey. It would seem that the nearest galaxies would be more useful as they would have the most recent information.

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